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Locating indoor object's position is a fundamental application in many industries. As a low cost and universal implementation in wireless sensor networks (WSN), received signal strength (RSS) based positioning faces challenges of interfered measurements introduced by multiple sources. In order to improve the location prediction accuracy, we proposed a Markov random field model for indoor positioning...
This study explored the integration of spectral and spatio-temporal information, and investigated the contribution to landscape mapping of spatio-temporal information including DEM, slope, aspect, NDVI, ratio vegetation index, FVC by an example of Nikko montane area. The results demonstrated that spatio-temporal information could effectively improve the performance of montane landscape mapping. Finally,...
Accurate and efficient network traffic classification is an important network management task. Two way messages in a session follow the underlying application protocol to exchange information. In this paper, we propose a novel application classification method based on message statistics, concisely representing the protocols' unique characteristics. We present algorithms using SVD-based and information...
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